Celestine Abindekwe Ngarambe

General Info

The Top Three Things I Would Like to Learn or Experience During my Mentorship

1. Improve my data skills to expertise level.
2. Understand the variety of career options in data.
3. Network & connect with legendary tech companies.

Mentorship Characteristic

• Have exposure to the company culture
• Participate in a skills-building course, either provided by my mentor’s company or identify a free resource online
• Focus on technical skills building

Ideal Company Type

My ideal company would be a high-profile tech powerhouse that uses streaming data and technology to develop new solutions and projects. I seek a firm that enjoys mentoring their employees, supports their daily work, raises their confidence, sharpens both their IQ and EQ, trusts them with challenges and pushes them to be their best. I'd also like a company that enjoys multicultural environment, understands work-life balance and supports human rights, gender equality and women's empowerment in the workplace.

Additional Technical Skills

Bi tools, Data Analytics, Data Visualization, Statistics and algebra, NLP basics, Research and reporting, Predictive Modelling.

What are three adjectives that best describe you in the work place?

1. Open
2. Friendly
3. Ambitious

What impact will your mentorship have on your career and professional path?

The TechWomen platform will help me to connect with a diverse world of women in technology. It will open my eyes and give me the opportunity to learn from others on solving community base problems with data and software engineering. I believe people are great resources and this platform has a large number of brilliant women acting in different positions. There is nothing like having connection with powerful women intended to raise other women in Tech.

After participating in the TechWomen program, how will you leverage your mentorship experience to make an impact in your home country?

Professional aspirations include becoming a machine learning engineer who can solve community problems such as hunger in low-income families (underprivileged classes) by utilizing streaming data, analytics approaches, internet penetration, and technology. With the talents and experience I'll gain from this program, I'd like to try it out on my project to enhance low community lives through different connections with bright women in different tech industries. This platform has the potential to improve any woman's life, which motivates me to encourage young women to pursue STEM careers by providing facts beginning in elementary school.

Work History

Years of Full-time Work Experience

6

Primary Professional Focus

• Database/systems/networks
• IT systems and/or data analysis

Education History